The manufacturing industry has been changing dramatically over just the past few years. Advancements in technology have been rampant and the newest machines being built require absolute precision. The only way that we can get that today is by the use of intelligent manufacturing.

Absolute accuracy and efficiency are required by many of today’s factories. The existence of the automotive industry as an example is dependent on their ability to provide for safety and accuracy in their automotive manufacturing and building. Who is, after all, going to buy an automobile that isn’t guaranteed to be safe and well built? The electrical systems and many other components need to be–in some cases– a level of perfection that cannot always be achieved by human hands. Enter the use of intelligent manufacturing & Machine to Machine (M2M) communication.

One great example of intelligent machines in current use is the Machine to Machine communication platform used by CNC machinery that is used today to create high end machines & products for use in the aerospace, power generation & automotive industries. Another would be the automotive and the programmable logic controller manufacture. These intelligent machines in use today can not only manufacture more cheaply, but they can manufacture machinery in a far smaller space and can save money by telling you when or if the machine is liable to breakage or is having some problems that could lead to down time. Applications and software being used in the factories today can offer dramatic savings in time, in money and in headaches.

Companies in this economic climate are under increased pressure to have their machinery running to capacity yet to provide for and produce increased number of nearly perfect goods. Due to that pressure

the machinery that is running is usually running at peak capacity and as such can be prone to breakdown.

Mechanical breakdown can cost a company plenty. Not just in the financial losses that take place when the company is experiencing down time, but also from lost contracts or orders due to that down time.

The challenge then is to ensure that there is a nominal amount of down time and minimal breakage. Today a wide range of applications are being used in manufacturing that can help to lower stoppage or breakage as well as to provide nearly personalized information sent to the operator to assist them in diagnosing the issues that may be taking place. The machines are being diagnosed by other machines or applications that can help to keep them operational and to warn the operations manager when there is a problem and prevent the breakdowns by suggesting fixes before the breakage or down time even takes place.

Machine to Machine (M2M) provides for the means for machines to operate at peak capacity.

Today, companies who have embraced this type of manufacturing include the CNC industries, Ford Motor Company and multiple other automotive manufacturers and, surprisingly the oil and gas industry. The refineries for a wide range of different oil and gas companies have embraced intelligent manufacturing wholeheartedly.

Machine to Machine (M2M) has given the oil and gas industry the ability to improve their planning, their overall operations and improved the maintenance taking place in refineries today preventing a wide range of problems such as mechanical failure that might have led to spillage and other issues, saving both the companies and the public as a whole from the problems to which refinery errors can lead.

Machine to Machine (M2M) communication is not just limited to manufacturing but also the power generation and smart grid energy sectors. In this report the Carbon War Room goes into great detail on the 1 trillion dollar market that M2M technology will provide not only to manufacturing but transportation, energy and even agriculture. The report is detailed and interesting: Machine to Machine technology

The wave of the future, the way in which to arrive at precision, cost effective manufacturing is intelligent technology and it is transforming a wide range of businesses and industries now. Some of it is even diagnosing problems and telling the machinist or machine operator how to correct the fault to prevent the down time or to prevent disasters from taking place. Intelligent manufacturing may be a key player in the not too distant future in preventing oil refinery fires, oil spills and preventing environmental problems from taking place.

James Kemper is the president of W. H. Meanor & Associates, an executive placement & training company specializing in engineering & manufacturing careers. He can be reached at: jms@whmeanor.com or 704-372-7640 #102 or visit at www.whmeanor.com